Stuart Brown scbrown86
scbrown86
/ diverge0.R
Created
May 22, 2017 06:04
— forked from johnbaums/diverge0.R
Plot a rasterVis::levelplot with a colour ramp diverging around zero
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| diverge0 <- function(p, ramp) { | |
| # p: a trellis object resulting from rasterVis::levelplot | |
| # ramp: the name of an RColorBrewer palette (as character), a character | |
| # vector of colour names to interpolate, or a colorRampPalette. | |
| require(RColorBrewer) | |
| require(rasterVis) | |
| if(length(ramp)==1 && is.character(ramp) && ramp %in% | |
| row.names(brewer.pal.info)) { | |
| ramp <- suppressWarnings(colorRampPalette(brewer.pal(11, ramp))) | |
| } else if(length(ramp) > 1 && is.character(ramp) && all(ramp %in% colors())) { |
scbrown86
/ ColoredQuant_ggplot2.R
Created
August 30, 2017 04:00
— forked from Rekyt/ColoredQuant_ggplot2.R
Color Quantile from a density in ggplot2 with labeled quantiles
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| # Script from a density to color quantiles area | |
| # Packages --------------------------------------------------------------------- | |
| library(ggplot2) | |
| library(dplyr) | |
| # Data ------------------------------------------------------------------------- | |
| r_data = rnorm(100) # Computes 100 values | |
| r_quant = quantile(r_data, probs = seq(0, 1, 0.1)) # Computes quantiles |
scbrown86
/ stratified.R
Last active
February 16, 2021 15:29
— forked from mrdwab/stratified.R
Stratified random sampling from a `data.frame` in R
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| stratified <- function(df, group, size, select = NULL, | |
| replace = TRUE, bothSets = FALSE) { | |
| if (is.null(select)) { | |
| df <- df | |
| } else { | |
| if (is.null(names(select))) stop("'select' must be a named list") | |
| if (!all(names(select) %in% names(df))) | |
| stop("Please verify your 'select' argument") | |
| temp <- sapply(names(select), | |
| function(x) df[[x]] %in% select[[x]]) |
scbrown86
/ diverge0.R
Created
January 28, 2018 00:47
— forked from scipionesarlo/diverge0.R
Plot a rasterVis::levelplot with a colour ramp diverging around zero
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| diverge0 <- function(p, ramp) { | |
| # p: a trellis object resulting from rasterVis::levelplot | |
| # ramp: the name of an RColorBrewer palette (as character), a character | |
| # vector of colour names to interpolate, or a colorRampPalette. | |
| require(RColorBrewer) | |
| require(rasterVis) | |
| if(length(ramp)==1 && is.character(ramp) && ramp %in% | |
| row.names(brewer.pal.info)) { | |
| ramp <- suppressWarnings(colorRampPalette(brewer.pal(11, ramp))) | |
| } else if(length(ramp) > 1 && is.character(ramp) && all(ramp %in% colors())) { |
scbrown86
/ alignTwoGGPlots.R
Created
February 8, 2018 04:40
Aligning two ggplots when one has a legend
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| ## Function to align two ggplot objects when 1 has a legend and one doesn't | |
| ## Copied from https://stackoverflow.com/a/30414008/1710632 on 2018-02-08 | |
| AlignPlots <- function(...) { | |
| LegendWidth <- function(x) x$grobs[[8]]$grobs[[1]]$widths[[4]] | |
| plots.grobs <- lapply(list(...), ggplotGrob) | |
| max.widths <- do.call(unit.pmax, lapply(plots.grobs, "[[", "widths")) | |
| plots.grobs.eq.widths <- lapply(plots.grobs, function(x) { |
scbrown86
/ rescale_rasters.R
Last active
July 6, 2018 05:09
Functions for rescaling a multiband rasterstack or raster layer to an arbitrary range
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| # Functions for rescaling layers/stacks | |
| ## Cleaned up/edited the source code for sdvmspecies library (https://cran.r-project.org/web/packages/sdmvspecies/index.html) | |
| rescaleLayer <- function(raster.layer) { | |
| new.min <- 0; new.max <- 1 ## change for different output range (e.g. 0-255) | |
| min.value <- cellStats(raster.layer, min, na.rm = TRUE) | |
| max.value <- cellStats(raster.layer, max, na.rm = TRUE) | |
| raster.layer <- new.min + (raster.layer - min.value) * ((new.max - new.min) / (max.value - min.value)) | |
| return(raster.layer) | |
| } |
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| # Convert a GeoJSON object to a geopackage | |
| # Add a second geoJSON object in as a second layer | |
| # https://gis.stackexchange.com/q/223240/24249 | |
| library(rgdal) | |
| library(sf) | |
| # Here I open a shapefile, but readOGR can be used to read geoJSON files | |
| nc <- st_as_sf(readOGR(system.file("shape/nc.shp", package = "sf"))) |
scbrown86
/ MapCurves.R
Created
October 1, 2018 09:26
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| # Code from https://www.uva.nl/en/profile/l/o/e.e.vanloon/e.e.vanloon.html | |
| # Implementation of the MapCurves algorithm (DOI 10.1007/s10109-006-0025-x) | |
| mapcurves <- function(A, B, plotGOF = TRUE) { | |
| ## R implementation of the mapcurves goodness of fit measure | |
| ## (Hargrove et al. 20006, see full reference below) for comparing | |
| ## two categorical maps | |
| ## | |
| ## usage: |
scbrown86
/ bivarRasterPlot.R
Last active
October 25, 2024 10:46
Make a bivariate plot using raster data and ggplot2
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| # The function that produces the colour matrix | |
| colmat <- function(nbreaks = 3, breakstyle = "quantile", | |
| upperleft = "#0096EB", upperright = "#820050", | |
| bottomleft = "#BEBEBE", bottomright = "#FFE60F", | |
| xlab = "x label", ylab = "y label", plotLeg = TRUE, | |
| saveLeg = FALSE) { | |
| # TODO - replace any tidyr, dplyr etc. functions with data.table # | |
| library(tidyverse) | |
| require(ggplot2) | |
| require(classInt) |
scbrown86
/ multidimensionalNetCDF.R
Created
November 29, 2018 04:53
Create a multivariate, multi-dimension (x,y,t) netCDF file from raster data in R
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| library(raster) | |
| library(ncdf4) | |
| prec <- getData("worldclim", res = 10, var = "prec") | |
| tmax <- getData("worldclim", res = 10, var = "tmax") | |
| prec | |
| tmax | |
| tmax[] <- tmax[]/10 |
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